class_docstr: Class for the manifold of beta distributions.
  
  This is Beta = :math:`R_+^* \times R_+^*`, the upper-right
  quadrant of the Euclidean plane.
  
  Attributes
  ----------
  dim : int
      Dimension of the manifold of beta distributions, equal to 2.
  embedding_space : Manifold
      Embedding manifold.
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docstr: Metric to equip the space with if equip is True.
docstr_tok: ["Metric","to","equip","the","space","with","if","equip","is","True","."]
code: def default_metric():
      """Metric to equip the space with if equip is True."""
      return BetaMetric
  
file_path: geomstats/geomstats/information_geometry/beta.py
imports: from scipy.stats import beta
  import geomstats.backend
  from geomstats.information_geometry.base import ScipyUnivariateRandomVariable
  from geomstats.information_geometry.dirichlet import DirichletDistributions, DirichletMetric
label_desc: Use image node_id 2 for calling the BetaDistributions obj's underlying member method code with example usage: obj.default_metric() and returns: BetaMetric